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Erschienen in:
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2015 | OriginalPaper | Buchkapitel

6. Summary and Remarks for Future Research

verfasst von : Long Xu, Weisi Lin, C.-C. Jay Kuo

Erschienen in: Visual Quality Assessment by Machine Learning

Verlag: Springer Singapore

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Abstract

There has been increasing interest in visual quality assessment (VQA) during recent years. Of all these VQA methods, machine learning (ML) based ones became more and more popular. In this book, ML-based VQA and related issues have been extensively investigated. Chapters 1–2 present the fundamental knowledge of VQA and ML. In Chap. 3, ML was exploited for image feature selection and image feature learning. Chapter 4 presents two ML-based frameworks for pooling image features of an image into a number score. In Chap. 5, two metric fusion frameworks designed to combine multiple existing metrics into a better one, were developed by the aid of ML tools.

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Metadaten
Titel
Summary and Remarks for Future Research
verfasst von
Long Xu
Weisi Lin
C.-C. Jay Kuo
Copyright-Jahr
2015
Verlag
Springer Singapore
Buch
Visual Quality Assessment by Machine Learning

Print ISBN: 978-981-287-467-2

Electronic ISBN: 978-981-287-468-9

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-981-287-468-9_6

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